Not-For-All-Audiences

Instructions to use LoneStriker/ShoriRP-merged-v0.57-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LoneStriker/ShoriRP-merged-v0.57-GGUF", dtype="auto")

llama-cpp-python

How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="LoneStriker/ShoriRP-merged-v0.57-GGUF",
	filename="ShoriRP-merged-v0.57-Q3_K_L.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

Use Docker

docker model run hf.co/LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with Ollama:
```
ollama run hf.co/LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
```

Unsloth Studio

How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LoneStriker/ShoriRP-merged-v0.57-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LoneStriker/ShoriRP-merged-v0.57-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LoneStriker/ShoriRP-merged-v0.57-GGUF to start chatting

Docker Model Runner
How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with Docker Model Runner:
```
docker model run hf.co/LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M
```

Lemonade

How to use LoneStriker/ShoriRP-merged-v0.57-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LoneStriker/ShoriRP-merged-v0.57-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.ShoriRP-merged-v0.57-GGUF-Q4_K_M

List all available models

lemonade list

Model Card: ShoriRP-v0.57-merged

This is a merge between:

Mistral-7B-Instruct-v0.2
ShoriRP-v0.57 at a weight of 1.00.

The merge was performed using mergekit.

The intended objective was to make a controlled test merge at a weight of 1.00

Configuration

The following YAML configuration was used to produce this model:

merge_method: passthrough
models:
  - model: F:\AI\models\Mistral-7B-Instruct-v0.2+F:\AI\loras\ShoriRP-v0.57
dtype: float16

Usage

Please see the Lora repository for proper usage. All the prompt formatting JSONs are included in this repo for your convenience.

Bias, Risks, and Limitations

The model will show biases similar to those observed in niche roleplaying forums on the Internet, besides those exhibited by the base model. It is not intended for supplying factual information or advice in any form.

Training Details

This model is merged and can be reproduced using the tools mentioned above. Please refer to all provided links for extra model-specific details.

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GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

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